Roy Gelbard

1.4k total citations
42 papers, 1.0k citations indexed

About

Roy Gelbard is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Roy Gelbard has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 16 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Roy Gelbard's work include Software Engineering Techniques and Practices (10 papers), Software Engineering Research (8 papers) and Advanced Clustering Algorithms Research (8 papers). Roy Gelbard is often cited by papers focused on Software Engineering Techniques and Practices (10 papers), Software Engineering Research (8 papers) and Advanced Clustering Algorithms Research (8 papers). Roy Gelbard collaborates with scholars based in Israel, United States and Russia. Roy Gelbard's co-authors include Abraham Carmeli, Roni Reiter‐Palmon, Israel Spiegler, Orit Goldman, David Gefen, Nava Pliskin, Zippy Erlich, Yuval Cohen, Irena Milstein and Simcha Ronen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Roy Gelbard

38 papers receiving 958 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roy Gelbard Israel 12 273 207 198 196 115 42 1.0k
Eric Tsui Hong Kong 22 132 0.5× 359 1.7× 317 1.6× 285 1.5× 192 1.7× 87 1.4k
Iris Reychav Israel 21 165 0.6× 385 1.9× 130 0.7× 204 1.0× 202 1.8× 79 1.6k
Andrea Fronzetti Colladon Italy 20 111 0.4× 104 0.5× 156 0.8× 160 0.8× 123 1.1× 67 1.1k
Heng‐Li Yang Taiwan 21 168 0.6× 434 2.1× 122 0.6× 235 1.2× 255 2.2× 76 1.6k
Kévin Carillo France 16 180 0.7× 117 0.6× 153 0.8× 212 1.1× 126 1.1× 38 1.2k
Monica Adya United States 13 109 0.4× 119 0.6× 101 0.5× 228 1.2× 152 1.3× 47 1.3k
Hongwei Wang China 20 216 0.8× 94 0.5× 75 0.4× 343 1.8× 155 1.3× 80 1.3k
Jyun‐Cheng Wang Taiwan 11 166 0.6× 95 0.5× 91 0.5× 120 0.6× 206 1.8× 39 1.1k
David Paradice United States 21 76 0.3× 154 0.7× 168 0.8× 275 1.4× 138 1.2× 76 1.2k
Thorvald Hærem Norway 11 236 0.9× 62 0.3× 205 1.0× 53 0.3× 51 0.4× 29 788

Countries citing papers authored by Roy Gelbard

Since Specialization
Citations

This map shows the geographic impact of Roy Gelbard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roy Gelbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Gelbard more than expected).

Fields of papers citing papers by Roy Gelbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy Gelbard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roy Gelbard. The network helps show where Roy Gelbard may publish in the future.

Co-authorship network of co-authors of Roy Gelbard

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Gelbard. A scholar is included among the top collaborators of Roy Gelbard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roy Gelbard. Roy Gelbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gelbard, Roy, et al.. (2024). Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 15(1). 1 indexed citations
2.
Gelbard, Roy, et al.. (2024). Constructing a Course on Classification Methods for Undergraduate Non-STEM Students: Striving to Reach Knowledge Discovery. SHILAP Revista de lepidopterología. 33(1). 68–76. 1 indexed citations
3.
Gelbard, Roy, et al.. (2024). Using sentiment analysis to assess PMBOK knowledge areas’ compatibility with agile methodology. Procedia Computer Science. 239. 381–395.
4.
Gelbard, Roy, et al.. (2021). Perceived Complexity of a Project’s Optimal Work Plan Influences Its Likelihood of Adoption by Project Managers. Project Management Journal. 52(5). 471–487.
5.
Gelbard, Roy, et al.. (2020). Keep IT Together. International Journal of Information Technology Project Management. 12(1). 93–105.
6.
Gelbard, Roy, et al.. (2019). A dynamic classification unit for online segmentation of big data via small data buffers. Decision Support Systems. 128. 113157–113157. 11 indexed citations
7.
Gelbard, Roy, et al.. (2018). Sentiment analysis in organizational work: Towards an ontology of people analytics. Expert Systems. 35(5). 53 indexed citations
8.
Akron, Sagi & Roy Gelbard. (2017). Software code flexibility profitability in light of technology life cycle. Operational Research. 20(2). 723–746. 1 indexed citations
9.
Gelbard, Roy, et al.. (2016). Optimizing version release dates of research and development long-term processes. European Journal of Operational Research. 259(2). 642–653. 11 indexed citations
10.
Carmeli, Abraham, Roy Gelbard, & Roni Reiter‐Palmon. (2013). Leadership, Creative Problem‐Solving Capacity, and Creative Performance: The Importance of Knowledge Sharing. Human Resource Management. 52(1). 95–121. 319 indexed citations
11.
Gelbard, Roy, et al.. (2012). Software Project Costing. International Journal of Information Technology Project Management. 3(4). 72–86. 1 indexed citations
12.
Gelbard, Roy, et al.. (2012). A Unified Fuzzy Data Model. Journal of Database Management. 23(1). 78–102. 4 indexed citations
13.
Ben‐David, Arie, Roy Gelbard, & Irena Milstein. (2012). Supplier ranking by multi-alternative proposal analysis for agile projects. International Journal of Project Management. 30(6). 723–730. 8 indexed citations
14.
Gelbard, Roy, et al.. (2011). Adjusting Fuzzy Similarity Functions for use with standard data mining tools. Journal of Systems and Software. 84(12). 2374–2383. 5 indexed citations
15.
Carmeli, Abraham, et al.. (2010). Linking perceived external prestige and collective identification to collaborative behaviors in R&D teams. Expert Systems with Applications. 38(7). 8199–8207. 13 indexed citations
16.
17.
Erlich, Zippy, Roy Gelbard, & Israel Spiegler. (2003). Evaluating A Positive Attribute Clustering Model for Data Mining. Journal of Computer Information Systems. 43(3). 100–108. 4 indexed citations
18.
Gelbard, Roy, Nava Pliskin, & Israel Spiegler. (2002). Integrating system analysis and project management tools. International Journal of Project Management. 20(6). 461–468. 28 indexed citations
19.
Gelbard, Roy & Israel Spiegler. (2002). Representation and Storage of Motion Data. Journal of Database Management. 13(3). 46–63. 1 indexed citations
20.
Gelbard, Roy & Israel Spiegler. (2000). Hempel's Raven paradox: a positive approach to cluster analysis. Computers & Operations Research. 27(4). 305–320. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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